The unified data + AI lakehouse, billed by the DBU you burn.
14-day free trial with up to $400 in credits
Free trial; usage-based from ~$0.07/DBU Visit Site →
MLOps tools
7 tools tagged “MLOps”, each reviewed against the same criteria: real pricing, verified features, honest pros and cons, and an editorial rating out of 5.
Google Cloud's end-to-end ML and Gemini GenAI platform, billed by usage.
$300 Google Cloud credit, valid 90 days for new accounts
$0.10 / 1M tokens Visit Site →
Build, train, and deploy ML at scale on AWS — pay only for what you use.
2-month free tier: 250 notebook hrs + 50 training hrs
$0 (2-month free tier), then usage-based Visit Site →
Enterprise MLOps on Azure — no service fee, you pay only for the compute and storage you use.
$200 Azure credit for 30 days on new accounts
Free service; East US compute from $0.073/hr Visit Site →
The developer-first MLOps platform for experiment tracking, model management and LLM ops (Weave).
Free Pro for academic research: up to 100 seats, 200 GB storage
$0 (Free); Pro from $60/mo Visit Site →
Free, open-source MLOps toolkit for Kubernetes — pay only for your cluster
Free forever under Apache 2.0 — you only pay for infrastructure
$0 Visit Site →
Serverless GPU cloud that bills compute by the second
$30/mo free compute credits on Starter, no card needed
$0/mo + usage Visit Site →